Research

Gagan Aggarwal, Ashwinkumar Badanidiyuru, Paul Dütting, FF: "Selling Joint Ads: A Regret Minimization Perspective". EC, 2024. [arXiv]

Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, FF, Stefano Leonardi: "The Role of Transparency in Repeated First-Price Auctions with Unknown Valuations". STOC, 2024. [arXiv] [Proceedings] [STOC Talk]

Martino Bernasconi, Matteo Castiglioni, Andrea Celli, FF: "No-Regret Learning in Bilateral Trade via Global Budget Balance". STOC, 2024 [arXiv] [Proceedings] [Martino's STOC Talk]

Paul Duetting, FF, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam: "Consistent Submodular Maximization". ICML, 2024. [arXiv] [Proceedings]

Martino Bernasconi, Matteo Castiglioni, Andrea Celli, FF: "Bandits with Replenishable Knapsacks: the Best of both Worlds". ICLR, 2024 [arXiv] [Proceedings]

Ben Berger, Tomer Ezra, Michal Feldman, FF: "Pandora's Problem with Deadlines". AAAI, 24. [Proceedings]

Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, FF, Stefano Leonardi: "Repeated Bilateral Trade Against a Smoothed Adversary". COLT, 2023. [arXiv] [Proceedings]

Ben Berger, Tomer Ezra, Michal Feldman, FF: "Pandora's Problem with Combinatorial Cost". EC, 2023. [arXiv] [Proceedings]

Paul Duetting, FF, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam: "Fully Dynamic Submodular Maximization over Matroids". ICML, 2023. [arXiv] [Proceedings]

Marwa El Halabi, Ashkan Norouzi-Fard, Jakab Tardos, Jakub Tarnawski, FF: "Fairness in Streaming Submodular Maximization over a Matroid Constraint". ICML, 2023. [arXiv] [Proceedings]

Michal Feldman, FF, Simon Mauras, Rebecca Reiffenhäuser: "Truthful Matching with Online Items and Offline Agents". ICALP, 2023. [arXiv] [Proceedings]

Yossi Azar, Amos Fiat, FF: "An α-regret Analysis of Adversarial Bilateral Trade". NeurIPS, 2022. [arXiv] [Proceedings] [NeurIPS talk]

Emmanuel Esposito, FF, Dirk van der Hoeven, Nicolò Cesa-Bianchi: "Learning on the Edge: Online Learning with Stochastic Feedback Graphs". NeurIPS, 2022. [arXiv] [Proceedings] [NeurIPS talk by Emmanuel]

Paul Duetting, FF, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam: "Deletion Robust Submodular Maximization over Matroids". ICML, 2022 (long presentation: top 2% of the submissions). [arXiv] [Proceedings] [ICML talk].

Constantine Caramanis, Paul Duetting, Matthew Faw, FF, Philip Lazos, Stefano Leonardi, Orestis Papadigenopoulos, Emmanouil Pountourakis, Rebecca Reiffenhauser: "Single Sample Prophet Inequalities via Greedy-Ordered Selection". SODA, 2022. [arXiv] [Proceedings]. Previous version [arXiv]

Dirk van der Hoeven, FF, Nicolò Cesa-Bianchi: "Beyond Bandit Feedback in Online Multiclass Classification". NeurIPS, 2021. [arXiv] [Proceedings] [NeurIPS talk by Dirk]

Georgios Amanatidis, Georgios Birmpas, FF, Philip Lazos, Stefano Leonardi, Rebecca Reiffenhäuser: "Allocating Indivisible Goods to Strategic Agents: Pure Nash Equilibria and Fairness". WINE, 2021. Best paper award! [arXiv] [Proceedings] [Rebecca's talk]

Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, FF, Stefano Leonardi: "A Regret Analysis of Bilateral Trade". EC, 2021. [arXiv] [Proceedings] [EC talk] [Google TechTalks]

Georgios Amanatidis, FF, Philip Lazos, Stefano Leonardi, Alberto Marchetti Spaccamela, Rebecca Reiffenhäuser: "Submodular Maximization subject to a Knapsack Constraint: Combinatorial Algorithms with Near-optimal Adaptive Complexity". ICML (Spotlight), 2021. [arXiv] [Proceedings] [ICML talk]

Paul Dütting, FF, Philip Lazos, Stefano Leonardi, Rebecca Reiffenhäuser: "Efficient Two-Sided Markets with Limited Information". STOC, 2021. [arXiv] [Proceedings] [Rebecca's STOC talk]

Georgios Amanatidis, FF, Philip Lazos, Stefano Leonardi, Rebecca Reiffenhäuser: "Fast Adaptive Non-Monotone Submodular Maximization Subject to a Knapsack Constraint". NeurIPS, 2020. [arXiv] [Proceedings] [NeurIPS talk]

Shant Boodaghians, FF, Philip Lazos, Stefano Leonardi: "Pandora's Box Problem with Order Constraints". EC, 2020. [arXiv] [Proceedings] [Lightning talk] [EC talk]

Shant Boodaghians, FF, Stefano Leonardi, Yishay Mansour, Ruta Mehta. "Online Revenue Maximization for Server Pricing". IJCAI, 2020.  [arXiv] [Proceedings] 

Paul Duetting, FF, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam: "Fully Dynamic Submodular Maximization over Matroids". ACM Transactions on Algorithms, 2024. [TALG]

Yossi Azar, Amos Fiat, FF: "An α-regret Analysis of Adversarial Bilateral Trade". Artificial Intelligence, 2024. [AIJ]

Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, FF, Stefano Leonardi: "Regret Analysis of Bilateral Trade with a Smoothed Adversary". Journal of Machine Learning Research, 2024. [JMLR]

Michal Feldman, FF, Stefano Leonardi, Simon Mauras, Rebecca Reiffenhäuser: "Truthful Matching with Online Items and Offline Agents". Algorithmica, 2024. [ALGORITHMICA]

Georgios Amanatidis, Georgios Birmpas, FF, Philip Lazos, Stefano Leonardi, Rebecca Reiffenhäuser: "Allocating Indivisible Goods to Strategic Agents: Pure Nash Equilibria and Fairness". Mathematics of Operations Research, 2023. [MOR]

Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni, FF, Stefano Leonardi: "Bilateral Trade: A Regret Minimization Perspective". Mathematics of Operations Research, 2023. [arXiv] [MOR]

Shant Boodaghians, FF, Philip Lazos, Stefano Leonardi: "Pandora's Box Problem with Order Constraints". Mathematics of Operations Research, 2023. [MOR]

Georgios Amanatidis, FF, Philip Lazos, Stefano Leonardi, Rebecca Reiffenhäuser: "Fast Adaptive Non-Monotone Submodular Maximization Subject to a Knapsack Constraint". Journal of Artificial Intelligence Research, 2022. [JAIR]

Shant Boodaghians, FF, Stefano Leonardi, Yishay Mansour, Ruta Mehta. "Online Revenue Maximization for Server Pricing". Journal of Autonomous Agents and Multi-Agent Systems, 2022. [JAAMAS]

Ruggiero Seccia, Marco Boresta, FF et al.: "Data of patients undergoing rehabilitation programs". Data in Brief, 2020. [DataInBrief]